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Applying Noncontact Sensing Technology in the Customized Product Design of Smart Clothes Based on Anthropometry
I-Jan Wang1, Wei-Ting Chang2, Wen-Hao Wu3
1Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 40704, Taiwan.
Sensors (Basel, Switzerland)
|December 10, 2021
Summary
This study introduces smart clothes with noncontact electrodes for comfortable, long-term electrocardiograms (ECGs). These clothes minimize skin irritation and motion artifacts, ensuring stable ECG signal quality during various activities.
Area of Science:
- Biomedical Engineering
- Wearable Technology
- Cardiovascular Monitoring
Background:
- Conventional electrocardiogram (ECG) electrodes (Ag/AgCl) pose challenges for long-term monitoring due to skin irritation and gel issues.
- Existing dry electrodes often require good skin contact and are susceptible to motion artifacts, limiting their use in daily life.
Purpose of the Study:
- To develop smart clothes with noncontact electrodes for comfortable and stable long-term ECG monitoring.
- To mitigate skin irritation and discomfort associated with traditional ECG electrodes.
- To reduce motion artifacts in ECG signals through customized product design.
Main Methods:
- Development of smart clothes incorporating noncontact electrodes for biopotential assessment through fabric.
- Creation of a 3D parametric model based on anthropometric data for customized garment design.
- Integration of customized product design techniques to minimize motion artifact influence.
Main Results:
- The developed smart clothes successfully acquired ECG signals without direct skin contact, preventing irritation.
- A customized design approach effectively reduced the impact of motion artifacts during various physical activities.
- Stable and good quality ECG signals were maintained even under dynamic motion conditions.
Conclusions:
- Smart clothes with noncontact electrodes offer a promising solution for comfortable, long-term ECG monitoring.
- Customized design based on anthropometric data enhances the robustness of wearable ECG systems against motion.
- This technology has the potential to improve cardiovascular disease diagnosis and management through continuous, unobtrusive monitoring.

